YOLO-FES: an Improved elephant intrusion detector based on YOLOv8n

Human–elephant conflict (HEC) poses a significant threat to both biodiversity and rural livelihoods, necessitating innovative monitoring solutions that are both accurate and deployable in resource-constrained environments. Existing deep learning models often trade off detection accuracy for computat...

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Bibliographic Details

Main Authors:	Muhammad Danial, Mohamad Rizwan, Hossain, Md. Akbar, Athirah Najihah, Zulkifili, Md Akbar, Jalal Uddin, Singh, Lavindar, Syafiq Fauzi, Kamarulzaman
Format:	Article
Language:	en
Published:	Institute of Electrical and Electronics Engineers Inc. 2025
Subjects:	QA75 Electronic computers. Computer science TJ Mechanical engineering and machinery
Online Access:	https://umpir.ump.edu.my/id/eprint/47336/1/YOLO-FES%20An%20Improved%20Elephant%20Intrusion%20Detector.pdf https://doi.org/10.1109/ACCESS.2025.3633664 https://umpir.ump.edu.my/id/eprint/47336/
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